AI-900: Computer Vision Tasks and Applications

Learn about the computer vision tasks and applications that can be performed by using Computer Vision.

Question

Which two tasks in the list below can be performed by usingComputerVision? Each correct answer presents a complete solution.

Select all options that apply.

A. Detect the colour scheme in an image
B. Extract key phrases.
C. Detect brands in an image
D. Translate text between images
E. Predict stock prices

Answer

A. Detect the colour scheme in an image
C. Detect brands in an image

Explanation

Computer vision can detect brands and can also detect the colour schemes from images.

The correct answers are A and C. Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions.

Detecting the colour scheme in an image is a computer vision task that involves analyzing the image pixels and identifying the dominant colours or the colour palette used in the image. This can be useful for applications such as image editing, image compression, image segmentation, image retrieval, or image aesthetics.

Detecting brands in an image is another computer vision task that involves recognizing and locating the logos or trademarks of different companies or products in the image. This can be useful for applications such as marketing analysis, brand awareness, product placement, or content moderation.

Extracting key phrases is not a computer vision task, but a natural language processing (NLP) task that involves identifying and extracting the most relevant words or phrases from a text document. This can be useful for applications such as text summarization, text classification, text indexing, or text mining.

Translating text between languages is also not a computer vision task, but a natural language processing (NLP) task that involves converting the text from one language to another while preserving the meaning and context. This can be useful for applications such as machine translation, cross-lingual communication, multilingual content creation, or language learning.

Predicting stock prices is neither a computer vision nor a natural language processing task, but a machine learning (ML) task that involves using historical data and statistical models to forecast the future values of financial assets. This can be useful for applications such as financial analysis, investment decision making, risk management, or trading strategies.

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